What is the name for this classification algorithm?
Can you help me find the name of this classification algorithm :
Assume we have data:
$n$ dimensional feature vectors we want to classify in two classes.
We model the classes as two $n$ dimensional gaussian distributions estimated from the data.
We classify a new vector to the class that maximizes the PDF(probability density function) at that point.
classification normal-distribution multivariate-analysis pdf algorithms
asked 4 hours ago
SoloNasusSoloNasus
1585
add a comment |
Can you help me find the name of this classification algorithm :
Assume we have data:
$n$ dimensional feature vectors we want to classify in two classes.
We model the classes as two $n$ dimensional gaussian distributions estimated from the data.
We classify a new vector to the class that maximizes the PDF(probability density function) at that point.
classification normal-distribution multivariate-analysis pdf algorithms
asked 4 hours ago
SoloNasusSoloNasus
1585
Two component Gaussian mixture model?
– Bey
20 mins ago
add a comment |
Can you help me find the name of this classification algorithm :
Assume we have data:
$n$ dimensional feature vectors we want to classify in two classes.
We model the classes as two $n$ dimensional gaussian distributions estimated from the data.
We classify a new vector to the class that maximizes the PDF(probability density function) at that point.
classification normal-distribution multivariate-analysis pdf algorithms
asked 4 hours ago
SoloNasusSoloNasus
1585
Can you help me find the name of this classification algorithm :
Assume we have data:
$n$ dimensional feature vectors we want to classify in two classes.
We model the classes as two $n$ dimensional gaussian distributions estimated from the data.
We classify a new vector to the class that maximizes the PDF(probability density function) at that point.
classification normal-distribution multivariate-analysis pdf algorithms
classification normal-distribution multivariate-analysis pdf algorithms
asked 4 hours ago
SoloNasusSoloNasus
1585
asked 4 hours ago
SoloNasusSoloNasus
1585
asked 4 hours ago
SoloNasusSoloNasus
1585
asked 4 hours ago
SoloNasusSoloNasus
1585
asked 4 hours ago
SoloNasusSoloNasus
1585
1585
Two component Gaussian mixture model?
– Bey
20 mins ago
add a comment |
Two component Gaussian mixture model?
– Bey
20 mins ago
Two component Gaussian mixture model?
– Bey
20 mins ago
Two component Gaussian mixture model?
– Bey
20 mins ago
add a comment |
1 Answer
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Probably Quadratic Discriminant Analysis.
There are also names for different constraints you could make:
Covariance matrices of both classes are equal - Linear Discriminant Analysis.
Only diagonal elements of the covariance matrix are non-zero - Naive Bayes Classifier
Covariance matrix is identity (diagonals = 1, non-diagonals = 0) - Nearest Centroid Classifier
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Probably Quadratic Discriminant Analysis.
There are also names for different constraints you could make:
Covariance matrices of both classes are equal - Linear Discriminant Analysis.
Only diagonal elements of the covariance matrix are non-zero - Naive Bayes Classifier
Covariance matrix is identity (diagonals = 1, non-diagonals = 0) - Nearest Centroid Classifier
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
add a comment |
Probably Quadratic Discriminant Analysis.
There are also names for different constraints you could make:
Covariance matrices of both classes are equal - Linear Discriminant Analysis.
Only diagonal elements of the covariance matrix are non-zero - Naive Bayes Classifier
Covariance matrix is identity (diagonals = 1, non-diagonals = 0) - Nearest Centroid Classifier
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
add a comment |
Probably Quadratic Discriminant Analysis.
There are also names for different constraints you could make:
Covariance matrices of both classes are equal - Linear Discriminant Analysis.
Only diagonal elements of the covariance matrix are non-zero - Naive Bayes Classifier
Covariance matrix is identity (diagonals = 1, non-diagonals = 0) - Nearest Centroid Classifier
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
Probably Quadratic Discriminant Analysis.
There are also names for different constraints you could make:
Covariance matrices of both classes are equal - Linear Discriminant Analysis.
Only diagonal elements of the covariance matrix are non-zero - Naive Bayes Classifier
Covariance matrix is identity (diagonals = 1, non-diagonals = 0) - Nearest Centroid Classifier
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
edited 3 hours ago
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
1,74921425
add a comment |
add a comment |
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Two component Gaussian mixture model?
– Bey
20 mins ago